Labeeb - Task

boom.py

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+import csv
+import datetime
+
+# Open homework.csv and example.csv files
+with open('homework.csv', 'r') as homework_file, open('example.csv', 'r') as example_file:
+    # Create a CSV reader for each file
+    homework_reader = csv.reader(homework_file)
+    example_reader = csv.reader(example_file)
+
+    # Get the header row from each file
+    homework_header = next(homework_reader)
+    example_header = next(example_reader)
+
+    # Create a new list to store the data
+    data = []
+
+    # Iterate through the rows in the homework file
+    for row in homework_reader:
+        # Get the item name and price
+        item_name = row[0]
+        price = row[1]
+        UPC_Gtin_EAN = row[2]
+
+        # Check if price is a valid float
+        try:
+            float(price)
+        except ValueError:
+            # Handle as a string
+            price = price
+        else:
+            price = float(price)
+
+        # Check if UPC/Gtin/EAN is valid integer
+        try:
+            int(UPC_Gtin_EAN)
+        except ValueError:
+            # Handle as a string
+            UPC_Gtin_EAN = UPC_Gtin_EAN
+        else:
+            UPC_Gtin_EAN = int(UPC_Gtin_EAN)
+
+
+
+        # Append the item name, formatted price, and UPC_Gtin_EAN to the data list
+        data.append([item_name, price,UPC_Gtin_EAN])
+
+    # Iterate through the rows in the example file
+    for row in example_reader:
+        # Get the item name and price
+        item_name = row[0]
+        price = row[1]
+        UPC_Gtin_EAN = row[2]
+
+        # Check if price is a valid float
+        try:
+            float(price)
+        except ValueError:
+            # Handle as a string
+            price = price
+        else:
+            price = float(price)
+
+        # Check if UPC/Gtin/EAN is valid integer
+        try:
+            int(UPC_Gtin_EAN)
+        except ValueError:
+            # Handle as a string
+            UPC_Gtin_EAN = UPC_Gtin_EAN
+        else:
+            UPC_Gtin_EAN = int(UPC_Gtin_EAN)
+
+
+        # Append the item name, formatted price, and UPC_Gtin_EAN to the data list
+        data.append([item_name, price,UPC_Gtin_EAN])
+
+# Open a new file named 'formatted.csv' in write mode
+with open('formatted.csv', 'w', newline='') as formatted_file:
+    # Create a CSV writer object
+    writer = csv.writer(formatted_file)
+
+    # Write the header row to the new file
+    writer.writerow(['Item Name', 'Price', 'UPC/Gtin/EAN'])
+
+    # Write the data to the new file
+    writer.writerows(data)